Aside

Byron C. Jaeger

Contact

Skills

Statistical analysis:

Statistical / Machine learning:

Statistical Programming:

Stats

Total citations: 396

Disclaimer

This resume was made with the R package pagedown.

Main

Byron C. Jaeger

I am an Assistant Professor of Biostatistics. I work in the School of Public Health at the University of Alabama at Birmingham.

My research focuses on describing the role of diurnal (night-time) blood pressure patterns in developing cardiovascular disease and building predictive algorithms that can be used to support clinical decision-making.

Education

PhD, Biostatistics

Gilling’s School of Global Public Health

Chapel Hill, North Carolina

2017 - 2012

BS, Mathematics

Furman University

Greenville, South Carolina

2012 - 2008

  • Thesis: Modeling three-dimensional pathways for the Tsunami Bar
  • Honors: Recipient of DeLany Medal for Excellence in Mathematics

Professional Experience

Assistant Professor of Biostatistics

University of Alabama at Birmingham

Birmingham, Alabama

Present - 2017

  • Investigating mechanisms of cardiovascular disease and hypertension
  • developing machine learning algorithms to identify who may benefit from initiating antihypertensive medications

Adjunct Professor of Statistics

North Carolina Central University

Durham, North Carolina

2017 - 2016

Undergraduate and graduate instructor in biostatistics and statistical learning

Graduate Teaching Assistant

Gilling’s School of Global Public Health

Chapel Hill, North Carolina

2017 - 2014

  • Intro to Biostatistics and Longitudinal Data Analysis
  • Statistics Tutor, School of Nursing

Graduate Research Assistant

Gilling’s School of Global Public Health

Chapel Hill, North Carolina

2017 - 2012

Teaching Experience

General Linear Models

University of Alabama at Birmingham

N/A

Present - 2019

  • Students are introduced to matrix algebra and theory supporting the general linear model.
  • Students develop expertise in predictive modeling and statistical inference based on general linear models.

Statistical Programming with R

University of Alabama at Birmingham

N/A

Present - 2017

  • Students develop core competencies in data analysis (import, clean, transform, visualize, and tabulate) using R.
  • Course structure promotes interactive lectures and group exercises.
  • Final exam: a comprehensive research project using R markdown.

Publications

CVD and Mortality in Adults Aged 60+ Years According to Recommendations by the ACC/AHA and ACP/AAFP

BC Jaeger
Hypertension, 73 (2), 327-334

N/A

2019

  • Citations: 3
  • 10.1161/HYPERTENSIONAHA.118.12291

This paper is one of my favorites.